Small-loss bounds for online learning with partial information

conference on learning theory, 2018.

Cited by: 15|Bibtex|Views81|Links
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Abstract:

We consider the problem of adversarial (non-stochastic) online learning with partial information feedback, where at each round, a decision maker selects an action from a finite set of alternatives. We develop a black-box approach for such problems where the learner observes as feedback only losses of a subset of the actions that includes ...More

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